document.write( "Question 1101859: A pharmaceutical company receives large shipments of ibuprofen tablets and uses this acceptance sampling plan: randomly select and test 28 tablets, then accept the whole batch if there is at most one that doesn’t meet the required specifications. If a particular shipment of thousands of ibuprofen tablets actually has a 9% rate of defects, what is the probability that this whole shipment will be accepted?\r
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\n" ); document.write( "P(accept shipment) =
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Algebra.Com's Answer #716611 by richwmiller(17219)\"\" \"About 
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here is the problem worked out for 14 tablets and 3%\r
\n" ); document.write( "\n" ); document.write( "In order for there to be no defects then all 14 of the test tablets must be good so
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\n" ); document.write( "P(no defects out of 14) = 0.9714 ~ 0.6528
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\n" ); document.write( "If there is 1 tablet that is bad then it can be any one of the 14 tablets (this can happen in 14 different ways), times the probability that 1 tablet is bad and 13 are good, so
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\n" ); document.write( "P(1 defect out of 14) = 14*0.03*0.9713 ~ 0.2827
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\n" ); document.write( "The probability that either of these cases happen is the sum of the individual probabilities which is
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\n" ); document.write( "P(shipment accepted) = 0.6528 + 0.2827 = 0.9355
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